Real estate is the sector that uses the most artificial intelligence in Spain: 40.1 % of mid-sized companies in the sector already have it in place, according to INE data. A local agency can compete by automating lead qualification, valuations and paperwork — with no technical team and an investment recovered in under six months.
For the past two years, "AI is going to change real estate" has been a conference-slide line. This month it stopped being one, for two reasons worth reading together: an official figure that puts real estate at the top of AI adoption in Spain, and the landing on the Costa del Sol of a proptech —a real estate agency born as a software company rather than as a high-street office— that uses precisely that as its argument to win both clients and agents. If you run an agency, this is no longer about the future of the sector: it's about who you're competing with next week.
The figure: real estate uses more AI than any other sector in Spain
According to INE data analysed this year, AI adoption in mid-sized Spanish companies has almost doubled in two years: from 19.79 % to 30.75 %. And within that average there's one sector ahead of everyone else: real estate activities, at 40.1 %, above even retail (35.8 %).
It's worth pausing on what that number means. We're not talking about labs or big tech: these are companies in your sector, with small teams, using AI in the CRM —the software where each client's record lives— to sort leads, in analytics to anticipate which properties will move, and in automations that take administrative work out of the way. If your agency still uses none of it, you're no longer being "cautious": you're below the median of your own sector. It's the difference between waiting and falling behind that we cover in why AI matters so much for your business right now.
What changed this month: AI-powered proptechs are already here
The figure explains the context; the news puts it next door. As reported by El Español/Invertia, the proptech Huspy —based in Dubai and backed by a $59 million series B— has accelerated its push into Málaga and the Costa del Sol, Spain's fourth-largest property market: around 200 deals in its first months and more than a hundred local agents recruited. Its toolkit is exactly what the INE figure describes: an AI assistant that handles the agent's administrative tasks, real-time market analysis, automatic valuations and buyer profiles generated from data.
And here's the part that hits a local agency harder than it looks: they're not only competing for clients. They're competing for agents. The argument for taking the best professionals in an area isn't the commission, it's the tooling — with the explicit jab that traditional agencies work with "obsolete technology". When a good agent compares two offers and one of them takes the paperwork off their desk, the decision isn't hard.
It's also worth keeping what they say themselves: the goal isn't to replace the professional, but to give them better tools. That's exactly the thesis of this article, and the good news hidden inside the bad.
What a proptech uses AI for (and the small-business version of each)
Nothing a platform with $59 million in funding does is exclusive to it. Almost all of it now has an equivalent within reach of a five-person agency, because the expensive part stopped being the technology and became knowing what to build first.
| What a proptech does | The local agency version |
|---|---|
| Its own assistant handling and qualifying leads 24/7 | A chatbot trained on your portfolio and your agency's tone, on the website, portals and WhatsApp |
| Automatic valuations and real-time market analysis | Data analysis on what you already have: deal history, prices in your area and how fast things actually sell |
| Teams and systems for listing agreements, contracts and calendars | Process automation: documents, reminders and follow-ups that generate themselves |
| In-house software built with millions in funding | A tailored tool on top of what you already use, at a small-business fixed price |
Answering every portal lead in minutes, not hours. In real estate the deal goes to whoever replies first, and inquiries come in at ten at night, on Sundays and while you're showing a flat. A useful automatic reply —one that confirms the property details, asks the three questions that separate a serious buyer from a browser and offers a viewing slot— puts you in the same speed league as any platform. We go into it in how an AI chatbot answers 90 % of your inquiries and, applied to the sector, in AI for real estate agencies: 5 processes you can automate this month.
No more writing listings and property dossiers by hand. Every property needs a description that sells and shows up in searches, and every owner wants a decent dossier. Done by hand, that work delays publication and ends up as four lines copied from the previous listing. With a solid automatic first draft from the data and the photos, the agent goes from writing to reviewing: properties go live sooner and better described.
Valuations from data, not from gut feel. A proptech values properties with models over market data; you have something they don't: your area's history, the deals you've closed and what people actually pay street by street. The problem is that it's usually spread across a CRM, three spreadsheets and two people's heads. Sorting that out is half the job, and it's exactly what we describe in from scattered spreadsheets to clear decisions.
A viewing calendar that organises itself. The lead picks a real slot in the agent's calendar, the appointment confirms itself, a reminder fires beforehand and a follow-up afterwards. The six-message ping-pong per viewing disappears, and so do most of the viewings nobody shows up to.
What a local agency has and a proptech doesn't
No platform knows which building on that street has a damp problem, which school makes a family pay 10 % more to be three minutes away, or how the owner on the third floor negotiates. Nor does it have an agent the neighbours know by name. That local knowledge and that trust are an advantage bought with years, not with a funding round.
The mistake would be assuming that advantage protects you on its own. It doesn't protect you if the client who trusts you writes at ten at night and you answer the following day. Quality attention has become the real luxury, and giving it takes time: AI done well doesn't replace the relationship, it funds it. It gives you back the paperwork hours so you can spend them on the only thing that can't be automated — viewing, negotiating, guiding someone through the biggest purchase of their life.
Where to start without being a tech company
You don't need a technology department or a year-long project. You need to pick the first piece well. In a small agency it's almost always the instant reply to portal leads, because it attacks the sector's most obvious money leak; if your bottleneck is elsewhere —winning listings, paperwork, follow-up— the order changes.
That's how we work at Zen Praxis: a free diagnosis to see where the hours go and what can be automated, a proposal with fixed timelines and price, and the first solution running within weeks, without stopping the office's day-to-day. The potential of this kind of automation is freeing up to 35 hours a month per person and recovering the investment in under six months.
Your competition is no longer just the agency around the corner: it's a platform that answers in seconds. The upside is that the tool it uses is within your reach, and your knowledge of the area is not within its reach. Book a free 30-minute call and we'll tell you what to automate first in your agency, no jargon and no strings attached.